
<table style="text-align:center"><caption><strong>Table G2. Multilevel logistic regression on selecting political post</strong></caption>
<tr><td colspan="3" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td colspan="2"><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="2" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td colspan="2">Selecting political post</td></tr>
<tr><td style="text-align:left"></td><td>(1)</td><td>(2)</td></tr>
<tr><td colspan="3" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Status drive</td><td>0.11 (0.06)<sup>*</sup></td><td></td></tr>
<tr><td style="text-align:left">Aggression</td><td></td><td>0.18 (0.07)<sup>**</sup></td></tr>
<tr><td style="text-align:left">Age</td><td>0.61 (0.08)<sup>***</sup></td><td>0.61 (0.08)<sup>***</sup></td></tr>
<tr><td style="text-align:left">Female</td><td>0.004 (0.02)</td><td>-0.001 (0.02)</td></tr>
<tr><td style="text-align:left">Party ID</td><td>-0.02 (0.03)</td><td>-0.02 (0.03)</td></tr>
<tr><td style="text-align:left">Higher education</td><td>-0.01 (0.02)</td><td>0.002 (0.02)</td></tr>
<tr><td style="text-align:left">Constant</td><td>0.24 (0.05)<sup>***</sup></td><td>0.20 (0.05)<sup>***</sup></td></tr>
<tr><td colspan="3" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>1,922</td><td>1,922</td></tr>
<tr><td style="text-align:left">Log Likelihood</td><td>-1,347.24</td><td>-1,345.35</td></tr>
<tr><td style="text-align:left">Akaike Inf. Crit.</td><td>2,712.48</td><td>2,708.69</td></tr>
<tr><td style="text-align:left">Bayesian Inf. Crit.</td><td>2,762.53</td><td>2,758.74</td></tr>
<tr><td colspan="3" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td colspan="2" style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>
